US 11,861,920 B2
System for monitoring gluten consumption and predicting association of indisposition to gluten consumption
Alexandre Rodrigues Marra, São Paulo (BR); Marcelo Prado, São Carlos (BR); Renaldo Massini Junior, São Carlos (BR); and Silvia Maria Prado, São Carlos (BR)
Assigned to SOCIEDADE BENEFICENTE ISRAELITA BRASILEIRA HOSPITAL ALBERT EINSTEIN, São Paulo (BR); and I-HEALTHSYS PRODUTOS MÉDICOS LTDA-ME, São Carlos (BR)
Filed by SOCIEDADE BENEFICENTE ISRAELITA BRASILEIRA HOSPITAL ALBERT EINSTEIN, São Paulo (BR); and I-HEALTHSYS PRODUTOS MÉDICOS LTDA-ME, São Carlos (BR)
Filed on Jan. 10, 2022, as Appl. No. 17/571,979.
Claims priority of application No. 10 2021 0128410 (BR), filed on Jun. 28, 2021.
Prior Publication US 2022/0415065 A1, Dec. 29, 2022
Int. Cl. G06T 7/70 (2017.01); G06V 20/68 (2022.01); G06V 10/84 (2022.01); G06V 10/10 (2022.01)
CPC G06V 20/68 (2022.01) [G06T 7/70 (2017.01); G06V 10/19 (2022.01); G06V 10/84 (2022.01); G06T 2207/20076 (2013.01); G06T 2207/30128 (2013.01)] 2 Claims
OG exemplary drawing
 
1. A system for predicting an association of indisposition to gluten consumption in a user of said system, comprising:
a device configured to capture information related to consumption of a food, such information allowing an identification, estimation and/or association of gluten content of the food;
the device being also configured to receive, through an input interface, information about an individual's food consumption;
a database that receives and stores information related to the food consumption and information on the individual's food consumption, the database also storing a maximum limit for the consumption of gluten admitted for the individual;
a processor to estimate an amount of gluten consumed by the individual from a probabilistic analysis based on information stored in the database and in databases comprising information about the food, forming a history of daily gluten consumption per individual;
wherein the individual, when informing the device, through the input interface, about a physical indisposition, causes the system to carry out evaluation and calculation of a probability of cause of the indisposition to the gluten consumption, in order to predict, by a percentage numerical result, when indisposition to gluten consumption is a result of an immune system's reaction to gluten; and
wherein the evaluation and calculation of the probability of the cause of the indisposition is carried out through:
(a) a first estimate of the probability that symptoms are due to the gluten consumption, based on a statistical analysis based on an initial Poisson cumulative distribution; and
(b) further statistical analysis with adjustments to the Poisson cumulative distribution curve based on data from the user's history, said distribution curve adjustments being performed using artificial intelligence techniques.